Gaurav Mathur
San Francisco, California, United States
2K followers
500+ connections
About
Several years of engineering leadership experience.
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I know how to build…
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Education
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Full Outer Join Syndicate
Co-founder, Investor
- PresentAn angel investing syndicate for current and former Indeed.com employees.
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AirAngels
Investor
- PresentAn angel investing syndicate for current and former Airbnb employees.
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Taylor Black
Reading Metronome’s Monetization Operating Model, I kept coming back to one idea: pricing has become product. Software now delivers outcomes, not access. Yet most companies still charge as if they’re selling seats or licenses. That disconnect creates friction: for customers, unpredictability; for companies, stalled growth. The paper’s argument is simple but sharp—monetization isn’t a late-stage decision. It’s strategic infrastructure. Pricing needs the same ownership and iteration as any feature. Treat it like a surface that customers touch, not a spreadsheet buried in finance. If value is continuous and dynamic, pricing must be as well. That means product, GTM, finance, and engineering working from one system of truth. How many of us still treat pricing as an afterthought—when it should be a growth engine? https://lnkd.in/gnH7WzYf #Monetization #ProductStrategy #AI
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Rex Sheridan
Every on-call engineer knows alert fatigue. It’s 3 AM. Your pager goes off. You wake up, check the logs, and realize it’s just a "disk usage 85%" warning on a non-critical staging node. You acknowledge it and go back to sleep—but your sleep cycle is ruined. I was itching to build some software and wanted a chance to evaluate Google’s new Antigravity. I used Antigravity to evaluate how effectively a modern AI coding agent can scaffold a production-shaped system. It was particularly strong at accelerating the “blank page → working baseline” phase — wiring services, APIs, and integration points quickly. Where human judgment still matters is system boundaries: defining failure modes, deciding what logic must remain deterministic, and placing explicit guardrails around LLM behavior. In practice, Antigravity functions best as a force multiplier for experienced engineers rather than a replacement — speeding iteration while still requiring architectural ownership and operational taste. The system uses a local LLM (Llama 3 via Ollama) to semantically classify logs and only escalate to PagerDuty when context actually matters — keeping humans in the loop by design. I wrote up the architecture, tradeoffs, and further details at the linked article. I’m getting back into software engineering leadership and selectively exploring what’s next. If this kind of early-stage systems thinking resonates, happy to reconnect or be pointed toward interesting problems.
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Todd Bishop
This week on the GeekWire Podcast: Anthropic acquired Seattle startup Vercept on Wednesday, raising familiar questions about the impact of early exits on the broader Seattle startup ecosystem, and the question of whether AI startups can compete long-term against the giants of the field. John Cook and I dig into the deal, the public feud between two of the company's early investors on LinkedIn, and why one co-founder's prior departure to Meta may have been worth more than the entire acquisition. Plus, a new research paper envisions a 2028 "global intelligence crisis" driven by AI-fueled white collar job losses, and I'm already finding myself engaging in pattern matching (justified or not) against current headlines. Then, the New York Times reported this week that Jeffrey Epstein built deeper connections inside Microsoft than any other major tech company. We break down the key revelations, and talk about what we found when we searched the Epstein files for "GeekWire." And in the final segment, GeekWire Trivia: With Xbox entering a new era under Asha Sharma, we look back at the celebrity who appeared on stage for the original Xbox unveiling 25 years ago. GeekWire: https://lnkd.in/gnDw-kgF Apple: https://lnkd.in/gbfPxUJi Spotify: https://lnkd.in/g9UwDNe8 Audio editing by Curt M..
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